The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-16"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4634068 (up from 4542347 yesterday: 2.02 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "311781 (up from 307666 yesterday: 1.34 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.73



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1467820 24996 1.73 88754 1224 1.40 6.05
Russia 272043 9200 3.50 2537 119 4.92 0.93
United Kingdom 241461 3457 1.45 34546 468 1.37 14.31
Brazil 233511 13220 6.00 15662 700 4.68 6.71
Spain 230698 515 0.22 27563 104 0.38 11.95
Italy 224760 875 0.39 31763 153 0.48 14.13
France 179630 0 0.00 27532 0 0.00 15.33
Germany 175752 519 0.30 7938 41 0.52 4.52
Turkey 148067 1610 1.10 4096 41 1.01 2.77
Iran 118392 1757 1.51 6937 35 0.51 5.86
India 90648 4864 5.67 2871 118 4.29 3.17
Peru 88541 4046 4.79 2523 131 5.48 2.85
China 84044 6 0.01 4638 1 0.02 5.52
Canada 77206 1247 1.64 5800 121 2.13 7.51
Belgium 54989 345 0.63 9005 46 0.51 16.38
Saudi Arabia 52016 2840 5.78 302 10 3.42 0.58
Mexico 47144 2112 4.69 5045 278 5.83 10.70
Netherlands 44070 190 0.43 5689 27 0.48 12.91
Chile 41428 1886 4.77 421 27 6.85 1.02
Pakistan 38799 0 0.00 834 0 0.00 2.15
Ecuador 32763 1296 4.12 2688 94 3.62 8.20
Qatar 30972 1547 5.26 15 1 7.14 0.05
Switzerland 30572 58 0.19 1879 1 0.05 6.15
Sweden 29677 470 1.61 3674 28 0.77 12.38
Portugal 28810 227 0.79 1203 13 1.09 4.18
Belarus 28681 951 3.43 160 4 2.56 0.56
Singapore 27356 465 1.73 22 1 4.76 0.08
Ireland 24048 92 0.38 1533 15 0.99 6.37
United Arab Emirates 22627 796 3.65 214 4 1.90 0.95
Bangladesh 20995 930 4.63 314 16 5.37 1.50
Poland 18257 241 1.34 915 8 0.88 5.01
Ukraine 17858 528 3.05 497 21 4.41 2.78
Indonesia 17025 529 3.21 1089 13 1.21 6.40
Romania 16704 267 1.62 1094 24 2.24 6.55
Israel 16608 19 0.11 268 2 0.75 1.61
Japan 16237 34 0.21 725 12 1.68 4.47
Austria 16201 92 0.57 629 1 0.16 3.88
Colombia 14939 723 5.09 562 16 2.93 3.76
South Africa 14355 831 6.14 261 14 5.67 1.82
Kuwait 13802 942 7.33 107 11 11.46 0.78
Philippines 12305 214 1.77 817 11 1.36 6.64
Dominican Republic 12110 371 3.16 428 4 0.94 3.53
Egypt 11719 491 4.37 612 20 3.38 5.22
Denmark 11056 67 0.61 543 6 1.12 4.91
Korea, South 11050 13 0.12 262 0 0.00 2.37
Serbia 10496 58 0.56 228 3 1.33 2.17
Panama 9449 181 1.95 269 3 1.13 2.85
Czechia 8455 49 0.58 296 1 0.34 3.50
Norway 8237 18 0.22 232 0 0.00 2.82
Argentina 7805 326 4.36 363 7 1.97 4.65
Australia 7044 9 0.13 98 0 0.00 1.39
Malaysia 6872 17 0.25 113 1 0.89 1.64
Algeria 6821 192 2.90 542 6 1.12 7.95
Bahrain 6747 164 2.49 12 0 0.00 0.18
Morocco 6741 89 1.34 192 2 1.05 2.85
Afghanistan 6402 349 5.77 168 15 9.80 2.62
Finland 6286 58 0.93 297 4 1.37 4.72
Moldova 5934 189 3.29 207 5 2.48 3.49
Kazakhstan 5850 161 2.83 34 0 0.00 0.58
Ghana 5735 97 1.72 29 1 3.57 0.51
Nigeria 5621 171 3.14 176 5 2.92 3.13
Oman 5029 404 8.74 21 1 5.00 0.42
Armenia 4283 239 5.91 55 3 5.77 1.28
Luxembourg 3930 7 0.18 104 0 0.00 2.65
Bolivia 3826 249 6.96 165 1 0.61 4.31
Hungary 3473 56 1.64 448 6 1.36 12.90
Iraq 3260 67 2.10 121 4 3.42 3.71
Azerbaijan 3138 158 5.30 36 0 0.00 1.15
Cameroon 3105 0 0.00 140 0 0.00 4.51
Thailand 3025 0 0.00 56 0 0.00 1.85
Greece 2819 9 0.32 162 2 1.25 5.75
Uzbekistan 2738 52 1.94 11 0 0.00 0.40
Guinea 2658 185 7.48 16 1 6.67 0.60
Honduras 2565 105 4.27 138 4 2.99 5.38
Senegal 2429 119 5.15 25 0 0.00 1.03
Sudan 2289 325 16.55 97 6 6.59 4.24
Bosnia and Herzegovina 2267 31 1.39 129 1 0.78 5.69
Croatia 2224 2 0.09 95 0 0.00 4.27
Bulgaria 2175 37 1.73 105 3 2.94 4.83
Cote d’Ivoire 2061 44 2.18 25 1 4.17 1.21
Cuba 1862 22 1.20 79 0 0.00 4.24
Iceland 1802 0 0.00 10 0 0.00 0.55
Estonia 1770 4 0.23 63 0 0.00 3.56
Guatemala 1763 120 7.30 33 3 10.00 1.87
North Macedonia 1762 22 1.26 98 1 1.03 5.56
Lithuania 1534 11 0.72 55 1 1.85 3.59
New Zealand 1499 1 0.07 21 0 0.00 1.40
Slovakia 1493 13 0.88 28 1 3.70 1.88
Slovenia 1465 0 0.00 103 0 0.00 7.03
Congo (Kinshasa) 1455 157 12.10 61 11 22.00 4.19
Somalia 1357 73 5.69 55 2 3.77 4.05
Djibouti 1331 22 1.68 4 0 0.00 0.30
Tajikistan 1322 204 18.25 36 3 9.09 2.72
Gabon 1320 111 9.18 11 1 10.00 0.83
El Salvador 1265 55 4.55 26 1 4.00 2.06
Kyrgyzstan 1117 6 0.54 14 0 0.00 1.25
Maldives 1078 47 4.56 4 0 0.00 0.37
Tunisia 1037 2 0.19 45 0 0.00 4.34

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 348232 2419 0.70 28049 171 0.61 8.05 17900.68 1441.84 1 in 56
New Jersey 145089 1105 0.77 10261 113 1.11 7.07 16334.82 1155.23 1 in 61
Illinois 92457 2088 2.31 4129 70 1.72 4.47 7296.27 325.84 1 in 137
Massachusetts 84933 1512 1.81 5705 113 2.02 6.72 12221.45 820.92 1 in 82
California 78725 2032 2.65 3208 72 2.30 4.07 1992.42 81.19 1 in 502
Pennsylvania 65185 1049 1.64 4480 58 1.31 6.87 5091.79 349.95 1 in 196
Michigan 50538 459 0.92 4881 56 1.16 9.66 5060.45 488.74 1 in 198
Texas 47452 1731 3.79 1318 38 2.97 2.78 1636.51 45.45 1 in 611
Florida 44811 673 1.52 1964 47 2.45 4.38 2086.39 91.44 1 in 479
Maryland 37968 982 2.66 1957 46 2.41 5.15 6280.19 323.70 1 in 159
Georgia 37212 440 1.20 1598 10 0.63 4.29 3504.81 150.51 1 in 285
Connecticut 36703 618 1.71 3339 54 1.64 9.10 10294.54 936.53 1 in 97
Louisiana 34117 280 0.83 2479 31 1.27 7.27 7338.89 533.26 1 in 136
Virginia 29683 1011 3.53 1003 25 2.56 3.38 3477.59 117.51 1 in 288
Ohio 27474 520 1.93 1610 29 1.83 5.86 2350.39 137.74 1 in 425
Indiana 27280 624 2.34 1741 50 2.96 6.38 4052.16 258.61 1 in 247
Colorado 21633 401 1.89 1192 42 3.65 5.51 3756.55 206.99 1 in 266
Washington 18288 337 1.88 999 8 0.81 5.46 2401.61 131.19 1 in 416
North Carolina 18130 636 3.64 676 9 1.35 3.73 1728.63 64.45 1 in 578
Tennessee 17263 303 1.79 295 5 1.72 1.71 2526.35 43.17 1 in 396
Minnesota 14969 729 5.12 709 17 2.46 4.74 2654.25 125.72 1 in 377
Iowa 14328 279 1.99 346 10 2.98 2.41 4541.26 109.66 1 in 220
Arizona 13666 497 3.77 679 28 4.30 4.97 1794.64 89.17 1 in 557
Rhode Island 12434 215 1.76 489 10 2.09 3.93 11737.26 461.60 1 in 85
Wisconsin 12187 502 4.30 453 8 1.80 3.72 2093.11 77.80 1 in 478
Alabama 11674 301 2.65 485 2 0.41 4.15 2380.90 98.92 1 in 420
Mississippi 11123 322 2.98 510 17 3.45 4.59 3737.38 171.36 1 in 268
Missouri 10959 193 1.79 594 13 2.24 5.42 1785.60 96.78 1 in 560
Nebraska 10220 610 6.35 123 10 8.85 1.20 5283.27 63.59 1 in 189
South Carolina 8661 254 3.02 380 0 0.00 4.39 1682.17 73.80 1 in 594
Kansas 7939 53 0.67 195 2 1.04 2.46 2725.08 66.93 1 in 367
Kentucky 7688 244 3.28 334 2 0.60 4.34 1720.81 74.76 1 in 581
Delaware 7547 174 2.36 286 15 5.54 3.79 7750.34 293.71 1 in 129
Utah 7068 155 2.24 78 1 1.30 1.10 2204.65 24.33 1 in 454
District of Columbia 7042 171 2.49 375 7 1.90 5.33 9978.05 531.35 1 in 100
Nevada 6813 80 1.19 347 4 1.17 5.09 2211.90 112.66 1 in 452
New Mexico 5847 185 3.27 259 6 2.37 4.43 2788.50 123.52 1 in 359
Oklahoma 5237 150 2.95 288 3 1.05 5.50 1323.49 72.78 1 in 756
Arkansas 4578 115 2.58 98 0 0.00 2.14 1516.99 32.47 1 in 659
South Dakota 3959 72 1.85 44 0 0.00 1.11 4475.17 49.74 1 in 223
Oregon 3612 71 2.01 137 0 0.00 3.79 856.38 32.48 1 in 1168
New Hampshire 3556 103 2.98 171 20 13.25 4.81 2615.26 125.76 1 in 382
Puerto Rico 2589 47 1.85 122 0 0.00 4.71 810.66 38.20 1 in 1234
Idaho 2419 68 2.89 73 1 1.39 3.02 1349.84 40.74 1 in 741
North Dakota 1848 87 4.94 42 0 0.00 2.27 2425.00 55.11 1 in 412
Maine 1648 45 2.81 70 1 1.45 4.25 1226.00 52.08 1 in 816
West Virginia 1470 23 1.59 64 0 0.00 4.35 822.54 35.81 1 in 1216
Vermont 934 1 0.11 53 0 0.00 5.67 1496.82 84.94 1 in 668
Wyoming 741 25 3.49 7 0 0.00 0.94 1280.33 12.09 1 in 781
Hawaii 639 1 0.16 17 0 0.00 2.66 451.31 12.01 1 in 2216
Montana 468 2 0.43 16 0 0.00 3.42 437.88 14.97 1 in 2284
Alaska 388 0 0.00 10 0 0.00 2.58 530.38 13.67 1 in 1885

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1378717 348232 25.26 70872.22
New Jersey 475224 145089 30.53 53503.02
Illinois 561649 92457 16.46 44322.67
Massachusetts 448089 84933 18.95 64477.85
California 1179126 78725 6.68 29842.06
Pennsylvania 327836 65185 19.88 25608.21
Michigan 357921 50538 14.12 35839.20
Texas 678471 47452 6.99 23398.88
Florida 630047 44811 7.11 29334.89
Maryland 190175 37968 19.96 31456.35
Georgia 321069 37212 11.59 30239.82
Connecticut 164755 36703 22.28 46210.87
Louisiana 259742 34117 13.13 55872.99
Virginia 185568 29683 16.00 21740.68
Ohio 246702 27474 11.14 21105.30
Indiana 171358 27280 15.92 25453.42
Colorado 121840 21633 17.76 21157.42
Washington 273303 18288 6.69 35890.59
North Carolina 238586 18130 7.60 22748.29
Tennessee 320201 17263 5.39 46859.78
Minnesota 143281 14969 10.45 25406.09
Iowa 96300 14328 14.88 30522.30
Arizona 146788 13666 9.31 19276.44
Rhode Island 108480 12434 11.46 102401.35
Wisconsin 146393 12187 8.32 25142.92
Alabama 153494 11674 7.61 31304.96
Mississippi 108476 11123 10.25 36448.44
Missouri 139340 10959 7.86 22703.32
Nebraska 59978 10220 17.04 31005.87
South Carolina 109616 8661 7.90 21289.98
Kansas 61592 7939 12.89 21141.56
Kentucky 127734 7688 6.02 28590.72
Delaware 39758 7547 18.98 40829.19
Utah 166774 7068 4.24 52020.02
District of Columbia 35532 7042 19.82 50346.51
Nevada 73664 6813 9.25 23915.67
New Mexico 124458 5847 4.70 59355.34
Oklahoma 123399 5237 4.24 31185.22
Arkansas 81644 4578 5.61 27053.92
South Dakota 28176 3959 14.05 31849.56
Oregon 92199 3612 3.92 21859.83
New Hampshire 42676 3556 8.33 31386.08
Puerto Rico 2589 2589 100.00 810.66
Idaho 35688 2419 6.78 19914.46
North Dakota 53487 1848 3.46 70187.20
Maine 23740 1648 6.94 17660.90
West Virginia 73393 1470 2.00 41067.13
Vermont 22276 934 4.19 35699.35
Wyoming 16394 741 4.52 28326.13
Hawaii 40883 639 1.56 28874.79
Montana 26091 468 1.79 24411.99
Alaska 33281 388 1.17 45494.13

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 30706 1606 5.52 7088 23.08 22483 1135 67 6.27 3.70
Gujarat 10989 1057 10.64 4308 39.20 6056 625 19 3.14 5.69
Tamil Nadu 10585 477 4.72 3538 33.42 6973 74 3 4.23 0.70
Delhi 9333 438 4.92 3926 42.07 5278 129 6 4.88 1.38
Rajasthan 5030 283 5.96 2991 59.46 1911 128 3 2.40 2.54
Madhya Pradesh 4790 195 4.24 2315 48.33 2232 243 4 1.67 5.07
Uttar Pradesh 4258 201 4.95 2441 57.33 1713 104 9 9.47 2.44
West Bengal 2576 115 4.67 892 34.63 1452 232 7 3.11 9.01
Andhra Pradesh 2355 48 2.08 1353 57.45 953 49 1 2.08 2.08
Punjab 1946 14 0.72 1257 64.59 657 32 0 0.00 1.64
Telangana 1509 55 3.78 971 64.35 504 34 0 0.00 2.25
Bihar 1178 145 14.04 440 37.35 731 7 0 0.00 0.59
Jammu and Kashmir 1121 108 10.66 542 48.35 567 12 1 9.09 1.07
Karnataka 1092 36 3.41 496 45.42 559 36 0 0.00 3.30
Haryana 887 33 3.86 514 57.95 360 13 0 0.00 1.47
Odisha 828 156 23.21 196 23.67 627 5 2 66.67 0.60
Kerala 588 11 1.91 497 84.52 87 4 0 0.00 0.68
Jharkhand 217 6 2.84 113 52.07 101 3 0 0.00 1.38
Chandigarh 191 0 0.00 51 26.70 137 3 0 0.00 1.57
Tripura 167 11 7.05 64 38.32 103 0 0 NaN 0.00
Assam 96 6 6.67 41 42.71 52 2 0 0.00 2.08
Uttarakhand 91 9 10.98 51 56.04 39 1 0 0.00 1.10
Himachal Pradesh 78 3 4.00 39 50.00 33 3 0 0.00 3.85
Chhattisgarh 67 1 1.52 58 86.57 9 0 0 NaN 0.00
Ladakh 43 0 0.00 24 55.81 19 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Goa 20 5 33.33 7 35.00 13 0 0 NaN 0.00
Puducherry 16 0 0.00 9 56.25 7 0 0 NaN 0.00
Meghalaya 13 0 0.00 11 84.62 1 1 0 0.00 7.69
Manipur 7 4 133.33 2 28.57 5 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 564550 84518 399 0.47 14.97 4521 268 27679 15450 18.28
Piemonte 245075 29483 137 0.47 12.03 1562 100 10702 3594 12.19
Emilia-Romagna 258274 27182 72 0.27 10.52 740 112 5852 3960 14.57
Veneto 497045 18928 39 0.21 3.81 290 20 4162 1783 9.42
Toscana 200703 9913 30 0.30 4.94 234 66 2943 979 9.88
Liguria 78068 9111 51 0.56 11.67 369 26 2533 1346 14.77
Lazio 201938 7396 32 0.43 3.66 1156 76 4022 616 8.33
Marche 87211 6642 23 0.35 7.62 154 17 2657 982 14.78
Campania 136261 4668 14 0.30 3.43 351 16 1710 396 8.48
Puglia 89611 4374 8 0.18 4.88 272 22 2104 463 10.59
P.A. Trento 65383 4326 8 0.19 6.62 44 8 345 453 10.47
Sicilia 114963 3382 8 0.24 2.94 159 12 1659 265 7.84
Friuli Venezia Giulia 101694 3183 8 0.25 3.13 79 3 680 319 10.02
Abruzzo 55672 3178 30 0.95 5.71 195 7 1423 383 12.05
P.A. Bolzano 53703 2578 0 0.00 4.80 48 5 343 290 11.25
Umbria 55170 1422 0 0.00 2.58 25 2 81 73 5.13
Sardegna 41257 1352 4 0.30 3.28 75 10 415 125 9.25
Valle d’Aosta 11835 1173 1 0.09 9.91 33 0 75 142 12.11
Calabria 54091 1151 7 0.61 2.13 56 2 474 95 8.25
Molise 10859 410 3 0.74 3.78 8 2 215 22 5.37
Basilicata 21496 390 1 0.26 1.81 29 1 113 27 6.92

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 42192 763 1.84 3484 82 2.41 8.26 4941.86 408.07 1 in 202
Ontario 23645 387 1.66 1976 37 1.91 8.36 1607.21 134.31 1 in 622
Alberta 6587 72 1.11 126 1 0.80 1.91 1492.59 28.55 1 in 670
British Columbia 2428 21 0.87 141 1 0.71 5.81 475.06 27.59 1 in 2105
Nova Scotia 1037 3 0.29 55 0 0.00 5.30 1060.92 56.27 1 in 943
Saskatchewan 591 1 0.17 7 0 0.00 1.18 500.14 5.92 1 in 1999
Manitoba 289 0 0.00 7 0 0.00 2.42 209.80 5.08 1 in 4766
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1590 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1052 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 665 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 209 1 0.48
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Jilin 144 2 1.39
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4486.00 271.25 1 in 223
Russia 1882.65 17.56 1 in 531
United Kingdom 3634.27 519.96 1 in 275
Brazil 1115.68 74.83 1 in 896
Spain 4944.23 590.72 1 in 202
Italy 3716.27 525.18 1 in 269
France 2681.44 410.99 1 in 373
Germany 2122.87 95.88 1 in 471
Turkey 1832.29 50.69 1 in 546
Iran 1458.75 85.47 1 in 686
India 67.70 2.14 1 in 14771
Peru 2752.28 78.43 1 in 363
China 60.64 3.35 1 in 16491
Canada 2053.90 154.30 1 in 487
Belgium 4823.60 789.91 1 in 207
Saudi Arabia 1579.11 9.17 1 in 633
Mexico 364.89 39.05 1 in 2741
Netherlands 2565.19 331.14 1 in 390
Chile 2295.18 23.32 1 in 436
Pakistan 196.95 4.23 1 in 5077

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 191600 20576 10.74
Cook Illinois 61212 2814 4.60
Nassau New York 39033 2034 5.21
Suffolk New York 37942 1733 4.57
Los Angeles California 37360 1793 4.80
Westchester New York 32097 1275 3.97
Philadelphia Pennsylvania 19606 1031 5.26
Wayne Michigan 19016 2212 11.63
Middlesex Massachusetts 18883 1370 7.26
Hudson New Jersey 18048 1045 5.79
Bergen New Jersey 17246 1450 8.41
Suffolk Massachusetts 16346 778 4.76
Essex New Jersey 16151 1534 9.50
Miami-Dade Florida 15366 559 3.64
Passaic New Jersey 15031 831 5.53
Union New Jersey 14569 946 6.49
Middlesex New Jersey 14514 872 6.01
Fairfield Connecticut 14140 1125 7.96
Rockland New York 12688 602 4.74
Essex Massachusetts 12314 766 6.22
Prince George’s Maryland 11031 420 3.81
New Haven Connecticut 10075 800 7.94
Orange New York 9879 408 4.13
Harris Texas 9126 204 2.24
Providence Rhode Island 9112 0 0.00
Worcester Massachusetts 9067 554 6.11
Hartford Connecticut 8299 1044 12.58
Marion Indiana 8151 474 5.82
Oakland Michigan 8023 910 11.34
Montgomery Maryland 7988 461 5.77
Ocean New Jersey 7878 617 7.83
King Washington 7426 526 7.08
Norfolk Massachusetts 7412 719 9.70
Fairfax Virginia 7386 278 3.76
Monmouth New Jersey 7297 503 6.89
Dallas Texas 7250 170 2.34
Maricopa Arizona 7096 319 4.50
District of Columbia District of Columbia 7042 375 5.33
Plymouth Massachusetts 6987 455 6.51
Jefferson Louisiana 6982 427 6.12
Orleans Louisiana 6781 495 7.30
Lake Illinois 6382 209 3.27
Macomb Michigan 6304 739 11.72
Broward Florida 6201 278 4.48
Morris New Jersey 6012 561 9.33
Montgomery Pennsylvania 5797 614 10.59
DuPage Illinois 5780 293 5.07
Bristol Massachusetts 5748 313 5.45
Mercer New Jersey 5719 396 6.92
San Diego California 5662 209 3.69

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc